Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS

Smit, Stefan; Tomasch, Ernst; Kolk, Harald; Plank, Michael Alois; Gugler, Jürgen; Glaser, Hannes

doi:10.1186/s12544-018-0343-3

Cited by 15 publications

(6 citation statements)

References 15 publications

(14 reference statements)

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“…The procedure uses programs used in the reconstruction of road accidents and requires solving collision modelling problems. The crash modelling has been covered in other papers [19,20,21].…”

Section: Verification Of Collision By the Sdc Methodsmentioning

confidence: 99%

Collision Model Simplifications in the Dynamic Analysis With the SDC Method

Aleksandrowicz

2020

Transport Problems

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The number of motor vehicles in the European Union (EU) is constantly increasing, which is causing an increase in the traffic volume. This, in turn, boosts the economic development of the EU member states. However, an increase in traffic volume leads to road collisions and accidents, which lead to high repair costs. Some accident victims report fake vehicle damage to extort money for repairs. There are criminal groups that stage accidents for this purpose; thus, these claims are very difficult to verify. Thus, it is not enough to verify the sustained damage only by comparing the geometric parameters of the impact traces. New, modern research methods with simulation programs need to be used in order to reconstruct the course of an accident. The SDC (Static Dynamic Characteristic method) provides the possibility of vehicle damage verification, according to this convention. However, simplified modelling with the use of simulation programs involves the necessity of identification of input parameters in order to reconstruct a collision and the vehicle's post-collision movement. If the input parameters are not correct, the simulation results will also be incorrect, which will have a direct impact on the parties involved in potential legal proceedings, both civil and criminal. This study deals with the identification of the impact parameters and sensitivity of the simulation results to input data. Impact verification with the SDC method shows both a knowledge enhancement and a practical value. They can be used by experts, expert witnesses, computer programmers, researchers and students.

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Section: Verification Of Collision By the Sdc Methodsmentioning

confidence: 99%

Collision Model Simplifications in the Dynamic Analysis With the SDC Method

Aleksandrowicz

2020

Transport Problems

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“…It mostly applies to the impacts of vehicles the geometric compatibility of which is inconsistent, which has also been discussed in other studies [13]. Solving problems of collision modeling is also discussed in Reference [14][15][16].…”

Section: Methodsmentioning

confidence: 99%

Modeling Head-On Collisions: The Problem of Identifying Collision Parameters

Aleksandrowicz

2020

Applied Sciences

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The analyses performed by the experts are crucial for the settlement of court disputes, and they have legal consequences for the parties to legal proceedings. The reliability of the simulation result is crucial. First, in article, an impact simulation was performed with the use of the program default data. Next, the impact parameters were identified from a crash test, and a simulation was presented. Due to the difficulties in obtaining the data identified, the experts usually take advantage of simplifications using only default data provided by the simulation program. This article includes the original conclusions on specific reasons of simplified collision modeling in Multi Body Systems (MBS) programs and provides specific directions of development of the V-SIM4 program used in the study to enhance the models applied. This manuscript indicates a direction for crash model development in MBS programs to consider a varied 3D body space zones stiffness related to the structure of the car body and the internal car elements instead of modeling the car body as a solid with an average stiffness. Such an approach would provide an alternative to Finite Element Method (FEM) convention modeling.

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“…Gulino et al [20] defined a Crash Momentum Index (CMI) and demonstrated its effectiveness in assessing the performance of ADAS in critical road scenarios. Smit et al [21] pointed out the interest of developing appropriate testing methods to assess the safety capabilities of ADAS (avoiding accidents or mitigating the injury severity). They proposed an impact model which aims to predict collision parameters (here delta-v).…”

Section: Related Workmentioning

confidence: 99%

An Approach to Guide the Search for Potentially Hazardous Scenarios for Autonomous Vehicle Safety Validation

et al. 2023

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Safety validation of Autonomous Vehicles (AV) requires simulation. Automotive manufacturers need to generate scenarios used during this simulation-based validation process. Several approaches have been proposed to master scenario generation. However, none have proposed a method to measure the potential hazardousness of the scenarios with regard to the performance limitations of AV. In other words, there is no method offering a metric to guide the search for potentially critical scenarios within the infinite space of scenarios. However, designers have knowledge of the functional limitations of AV components depending on the situations encountered. The more sensitive the AV is to a situation, the more safety experts consider it to be critical. In this paper, we present a new method to help estimate the sensitivity of AV to logical situations and events before their use for the generation of concrete scenarios submitted to simulators. We propose a characterization of the inputs used for sensitivity analysis (definition of the context of the automation function, generation of functional and logical situations with their associated events). We then propose an approach to set up a distribution function that will make it possible to select situations and events according to their importance in terms of sensitivity. We illustrate this approach by implementing it on the Traffic Jam Chauffeur (TJC) function. Finally, we compare the obtained sensitivity rank with expert judgment to demonstrate its relevance. This approach has been shown to be a promising method to guide the search for potentially hazardous scenarios that are relevant to the simulation-based safety validation process for AV.

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Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS

Cited by 15 publications

References 15 publications

Collision Model Simplifications in the Dynamic Analysis With the SDC Method

Collision Model Simplifications in the Dynamic Analysis With the SDC Method

Modeling Head-On Collisions: The Problem of Identifying Collision Parameters

An Approach to Guide the Search for Potentially Hazardous Scenarios for Autonomous Vehicle Safety Validation

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